Job request: 4382
- Organisation:
- Bennett Institute
- Workspace:
- pincer-measures
- ID:
- qsvx2ydt4f6km7zs
This page shows the technical details of what happened when the authorised researcher Louis Fisher requested one or more actions to be run against real patient data within a secure environment.
By cross-referencing the list of jobs with the pipeline section below, you can infer what security level the outputs were written to.
The output security levels are:
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highly_sensitive
- Researchers can never directly view these outputs
- Researchers can only request code is run against them
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moderately_sensitive
- Can be viewed by an approved researcher by logging into a highly secure environment
- These are the only outputs that can be requested for public release via a controlled output review service.
Jobs
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yl6hh6p6ht2w2h6a
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hqccoxxr7u2cxyj6
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iypjwo42f4bn7aid
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aeaz7wx6x3hd647x
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qongg7rrp3hihze7
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3aiwawdjrwahissn
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xl3p3wsuzrlej4oc
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yodaxhxcoe4piort
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7bycyoedtdiq2s2u
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qiqdnolmawz6zhqb
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rcaenqsfog7dklka
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b3gg3bilep2kmsvt
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- Job identifier:
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mnxqt4goc5pnayav
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 1000
actions:
generate_study_population_1:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2019-09-01 to 2020-05-01 by month" --output-format feather
outputs:
highly_sensitive:
cohort: output/input_*.feather
generate_study_population_2:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2020-06-01 to 2021-02-01 by month" --output-format feather
outputs:
highly_sensitive:
cohort: output/input*.feather
generate_study_population_3:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2021-03-01 to 2021-09-01 by month" --output-format feather
outputs:
highly_sensitive:
cohort: output/inpu*.feather
generate_study_population_ethnicity:
run: cohortextractor:latest generate_cohort --study-definition study_definition_ethnicity --output-format feather
outputs:
highly_sensitive:
cohort: output/input_ethnicity.feather
join_ethnicity_region:
run: python:latest python analysis/join_ethnicity_region.py
needs: [generate_study_population_1, generate_study_population_2, generate_study_population_3, generate_study_population_ethnicity]
outputs:
highly_sensitive:
cohort: output/inp*.feather
calculate_numerators:
run: python:latest python analysis/calculate_numerators.py
needs: [join_ethnicity_region]
outputs:
highly_sensitive:
cohort: output/indicator_e_f_*.feather
calculate_composite_indicators:
run: python:latest python analysis/composite_indicators.py
needs: [calculate_numerators, join_ethnicity_region]
outputs:
moderately_sensitive:
counts: output/*_composite_measure.csv
generate_measures:
run: cohortextractor:latest generate_measures --study-definition study_definition --output-dir=output
needs: [join_ethnicity_region]
outputs:
moderately_sensitive:
measure_csv: output/measure_*_rate.csv
generate_measures_demographics:
run: python:latest python analysis/calculate_measures.py
needs: [calculate_numerators, join_ethnicity_region]
outputs:
moderately_sensitive:
counts: output/indicator_measure_*.csv
measure_csv: output/measure*_rate.csv
demographics: output/demographics_summary_*.csv
generate_summary_counts:
run: python:latest python analysis/summary_statistics.py
needs: [join_ethnicity_region, generate_measures, generate_measures_demographics, calculate_numerators]
outputs:
moderately_sensitive:
patient_count: output/patient_count_*.json
practice_count: output/practice_count_*.json
summary: output/indicator_summary_statistics_*.json
generate_plots:
run: python:latest python analysis/plot_measures.py
needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
outputs:
moderately_sensitive:
counts: output/figures/plot_*.jpeg
combined: output/figures/combined_plot_*.png
demographics: output/demographic_aggregates.csv
generate_notebook:
run: jupyter:latest jupyter nbconvert /workspace/analysis/report.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
needs: [generate_plots, generate_summary_counts]
outputs:
moderately_sensitive:
notebook: output/report.html
generate_dem_notebook:
run: jupyter:latest jupyter nbconvert /workspace/analysis/demographic_report.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
needs: [generate_plots]
outputs:
moderately_sensitive:
notebook: output/demographic_report.html
run_tests:
run: python:latest python -m pytest --junit-xml=output/pytest.xml --verbose
outputs:
moderately_sensitive:
log: output/pytest.xml
Timeline
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Created:
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Started:
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Finished:
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Runtime: 45:28:32
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job request
- Status
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Succeeded
- Backend
- TPP
- Workspace
- pincer-measures
- Requested by
- Louis Fisher
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- cd9f692
- Requested actions
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generate_study_population_1 -
generate_study_population_2 -
generate_study_population_3 -
generate_study_population_ethnicity -
join_ethnicity_region -
calculate_numerators -
calculate_composite_indicators -
generate_measures -
generate_measures_demographics -
generate_summary_counts -
generate_plots -
generate_notebook -
generate_dem_notebook
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Code comparison
Compare the code used in this job request